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Abhinav Kumar Singh
Researcher at University of Southampton
Publications - 37
Citations - 1772
Abhinav Kumar Singh is an academic researcher from University of Southampton. The author has contributed to research in topics: Electric power system & Kalman filter. The author has an hindex of 14, co-authored 31 publications receiving 1190 citations. Previous affiliations of Abhinav Kumar Singh include University of Lincoln & Imperial College London.
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Journal ArticleDOI
Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work
Junbo Zhao,Antonio Gomez-Exposito,Marcos Netto,Lamine Mili,Ali Abur,Vladimir Terzija,Innocent Kamwa,Bikash C. Pal,Abhinav Kumar Singh,Junjian Qi,Zhenyu Huang,A. P. Sakis Meliopoulos +11 more
TL;DR: A unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, trackingstate estimation, and static state estimation and provide future research needs and directions for the power engineering community.
Journal ArticleDOI
Decentralized Dynamic State Estimation in Power Systems Using Unscented Transformation
TL;DR: In this paper, the authors proposed a decentralized algorithm for real-time estimation of the dynamic states of a power system, which employs phasor measurement units (PMUs) for the measurement of local signals at each generation unit, and subsequent state estimation using unscented Kalman filtering (UKF).
Journal ArticleDOI
Benchmark Models for the Analysis and Control of Small-Signal Oscillatory Dynamics in Power Systems
Claudio A. Canizares,Tatiane C. C. Fernandes,Edson L. Geraldi,L. Gerin-Lajoie,M.J. Gibbard,Jonas A. Kersulis,Roman Kuiava,Leandro Lima,F. DeMarco,Nelson Martins,Bikash C. Pal,Artur B. Piardi,J. R. dos Santos,Daniel Valadão Silva,Abhinav Kumar Singh,Behnam Tamimi,D.J. Vowles +16 more
TL;DR: In this article, a set of six benchmark systems for the analysis and control of electromechanical oscillations in power systems, recommended by the IEEE Task Force on Benchmark Systems for Stability Controls of the Power System Dynamic Performance Committee, are presented.
Journal ArticleDOI
Stability analysis of networked control in smart grids
TL;DR: The closed-loop stability analysis framework has considered the limiting probability of data dropout in computing the stability margin and its contribution is in quantifying allowable data-dropout limit for a specified closed loop performance.
Benchmark systems for small signal stability analysis and control
Claudio A. Canizares,Tatiane C. C. Fernandes,Edson L. Geraldi,L. Gerin-Lajoie,M.J. Gibbard,Ian A. Hiskens,Jonas A. Kersulis,Roman Kuiava,Leandro Lima,Fernando De Marco,Nelson Martins,Bikash C. Pal,Artur B. Piardi,Rodrigo A. Ramos,Jhonatan Andrade dos Santos,Daniel Valadão Silva,Abhinav Kumar Singh,Behnam Tamimi,D.J. Vowles +18 more
TL;DR: This report documents the work of the IEEE PES Task Force on Benchmark Systems for Stability Controls and presents the objectives of the TF, the guidelines used to select the benchmarks, a brief description of each benchmark system so the reader can select the most suitable system for the intended application.